ToolPlex Client Integration

Integrate the official ToolPlex MCP client to enable AI agents to discover, install, and execute thousands of curated MCP tools without complex setup or configuration.

Overview

ToolPlex is a curated tool ecosystem built for AI agents that provides:

Installation Instructions

For ToolPlex Desktop (Recommended)

1. Download and install ToolPlex Desktop from https://toolplex.ai

2. The ToolPlex client is built-in and requires no additional configuration

3. Launch the application and proceed to usage

For Claude Desktop or Other MCP Clients

1. Sign up for a ToolPlex AI account at https://toolplex.ai

2. Create an API key from your ToolPlex dashboard

3. Locate your MCP client configuration file:

- Claude Desktop: `claude_desktop_config.json`

- Other clients: consult client documentation for config location

4. Add the ToolPlex server configuration:

```json

{

"mcpServers": {

"toolplex-mcp": {

"command": "npx",

"args": ["@toolplex/client"],

"env": {

"TOOLPLEX_API_KEY": "YOUR_API_KEY_HERE"

}

}

}

}

```

5. Replace `YOUR_API_KEY_HERE` with your actual ToolPlex API key

6. Restart your MCP client to load the ToolPlex server

Configuration Best Practices

**Important:** ToolPlex works best as the **only server** in your MCP configuration, since it handles discovery, installation, and management of all other MCP servers on your behalf.

If you must include ToolPlex alongside other servers, always **mention `toolplex` by name** when you want to use it to help the agent avoid ambiguity.

Usage Instructions

ToolPlex is designed for AI agent interaction, not direct human use. You communicate with your agent, and the agent interacts with ToolPlex.

Step 1: Initialize ToolPlex

Ask your AI agent to activate ToolPlex using natural language:

```

init toolplex

```

or

```

start toolplex

```

or

```

open toolplex

```

Step 2: Discover Available Tools

Once initialized, ask your agent to show what tools are available:

Step 3: Search and Install New Tools

Ask your agent to find and install tools based on capabilities:

The agent will:

1. Search the ToolPlex tool index

2. Identify matching tools with quality signals

3. Automatically install dependencies and configure the tool

4. Confirm when the tool is ready to use

Step 4: Execute Tool Functions

Use installed tools through natural conversation:

Step 5: Manage Installed Tools

The agent can manage the tool lifecycle:

Step 6: Create and Use Playbooks

Save successful multi-step workflows as reusable playbooks:

Playbooks enable workflow memory across sessions.

Features

LLM Compatibility

ToolPlex works best with high-context LLMs that support tool-calling:

Lighter models (DeepSeek V3, Qwen3) can handle simpler tasks like running playbooks but may struggle with complex freeform ToolPlex usage.

Example Workflow

**Complete task flow with ToolPlex:**

1. User: "I need to analyze this CSV file and create visualizations"

2. Agent: *searches ToolPlex for data analysis tools*

3. Agent: *installs pandas-mcp and plotting-server automatically*

4. Agent: *reads CSV using pandas-mcp tool*

5. Agent: *generates charts using plotting-server tool*

6. Agent: "Analysis complete. Would you like me to save this as a playbook?"

7. User: "Yes, save it as 'CSV Analysis Pipeline'"

8. Agent: *saves multi-step workflow as reusable playbook*

Troubleshooting

Resources